NVIDIA Stock Leads 3 AI Infrastructure Hardware Picks After IBM’s Warning

Investors just watched IBM drop 25% after reporting 1% revenue growth against a 5% forecast, and the message is hard to miss: budgets are being pulled away from parts of traditional IT and pushed toward AI infrastructure hardware. That shift is unsettling for some software and device stocks, but it could concentrate attention on companies that build the chips, memory and data center hardware behind AI. This article walks through 3 stocks from an AI infrastructure hardware screener that appear closely tied to this theme, helping you decide whether they deserve a closer look or a wider berth in your portfolio.

NVIDIA (NVDA)

Overview: NVIDIA is a Santa Clara based chip company that designs the GPUs and full AI computing platforms that power data centers, gaming PCs, professional graphics and automotive systems around the world, selling mostly to large hardware makers, cloud providers and car manufacturers.

Operations: NVIDIA generates about US$253.5b in revenue, with roughly US$228.4b from its Compute & Networking segment and US$25.1b from Graphics, and most sales reported from the United States and Taiwan.

Market Cap: US$5,129.9b

Investors looking at AI infrastructure cannot ignore NVIDIA, which sits at the center of the GPU and data center buildout that many companies are now prioritizing over traditional IT spend. The stock combines high reported profitability, with a 63% net margin and very strong return on equity, and a P/E that is below many semiconductor peers. At the same time, there are real questions about how long customers can keep funding increasingly expensive AI hardware. Export controls, rising chip and power costs, insider selling and heavy reliance on a few hyperscale buyers all introduce risk. The central issue for investors is whether those rewards outweigh the pressure points as AI budgets swell and competitive and regulatory dynamics continue to develop.

NVIDIA’s 63% net margin and strong return on equity suggest a powerful story that many investors only half see. Put the current P/E, profitability and buyer concentration in context with the 4 key rewards and 2 important warning signs (1 is major!)

GLOBALFOUNDRIES (GFS)

Overview: GLOBALFOUNDRIES is a semiconductor foundry headquartered in Malta, New York, that manufactures wafers for chips used in smartphones, cars, communications gear and other connected devices. It also offers quantum technology solutions supported by a partnership with the U.S. Department of Energy’s Genesis Mission.

Operations: GLOBALFOUNDRIES generates about US$6.8b in revenue from its Semiconductors segment.

Market Cap: US$34.8b

GLOBALFOUNDRIES provides exposure to the underlying infrastructure of AI, supplying specialty wafers for custom AI chips, RF and power components that are used in data centers, 5G towers and increasingly in cars and smart devices. Long term supply agreements and a manufacturing footprint across the U.S. and Europe may support revenue stability, while quantum and silicon photonics projects relate to the challenges AI workloads pose for existing networks. At the same time, customer concentration, reliance on external borrowing and earlier weakness in communications and data center demand indicate that the stock is not a straightforward AI proxy. A key consideration is whether shifts in hardware budgets toward AI will benefit GLOBALFOUNDRIES’ niche or instead highlight its funding and customer related risks.

GLOBALFOUNDRIES sits where AI hardware demand, long term supply deals and funding questions intersect, yet many investors still treat it as a plain foundry stock. When you consider all of these factors alongside the analysis report for GLOBALFOUNDRIES

Micron Technology (MU)

Overview: Micron Technology is a Boise based manufacturer of memory and storage chips, supplying DRAM, NAND and solid state drives used in data centers, PCs, smartphones, cars and industrial equipment, sold under the Micron and Crucial brands worldwide.

Operations: Micron generates most of its revenue from memory and storage, with about US$31.3b from the Cloud Memory Business Unit, US$27.2b from the Mobile and Client Business Unit, US$21.2b from the Core Data Center Business Unit, US$10.5b from the Automotive and Embedded Business Unit and US$19m from All Other.

Market Cap: US$1,110.3b

Micron Technology sits at the heart of the AI buildout, supplying advanced DRAM, HBM and NAND that AI servers consume in far greater quantities than traditional hardware, just as many IT budgets are being redirected toward this infrastructure. The company combines high reported profitability and strong forecast growth with multi year supply agreements that aim to smooth out a notoriously cyclical memory market. At the same time, heavy investment needs, external borrowing, insider selling and tough competition from Samsung, SK Hynix and Chinese rivals mean the stock carries real risk if demand or pricing stumbles. The key question is whether the AI memory cycle and long term contracts can justify that volatility and the premium investors are currently willing to pay.

Micron Technology’s AI memory story is accelerating, but many investors may be missing how pricing power, contracts and competition really fit together in the medium term. Put the pieces side by side with the analyst forecasts for Micron Technology

The three stocks highlighted here are just a starting point, and the full AI Infrastructure Hardware Providers screener turned up 13 more companies with equally compelling narratives that might fit your view of where AI hardware spending is heading. It is worth seeing how they compare in the AI Infrastructure Hardware Providers screener. Use Simply Wall St to identify and analyze the specific catalysts, balance sheet strength and AI related narratives that matter most to you so you can focus on the highest conviction hardware plays across this group.

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This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.

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